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MATH 42

Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything

Course statistics

Predicted GPA
3.66
n = 344 · 7 terms · ± 0.029
A range
76%
of letter grades
Taken P/NP
2%
100% of those passed
D / F / W
1.4%
incl. withdrawals

Sections in Fall 2026

Sections offered, with live enrollment and predicted GPA
Section Status Enrolled Seat risk Meets Instructor Predicted GPA
Lec 1 Open
12 of 46
26% full
 fills MWF 9:00am-9:50am Johnson, C.L.
3.50n=66 · this instructor

Enrollment history

Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.

  • 5621F
  • 4522S
  • 7922F
  • 5923S
  • 3523F
  • 3324S
  • 4424F
Enrolment by term: 21F 56, 22S 45, 22F 79, 23S 59, 23F 35, 24S 33, 24F 44
Peak 79 Most recent 44 in 24F 7 terms on record

Grade distribution

  • A+ 6 · 1.7%
  • A 201 · 57.3%
  • A- 55 · 15.7%
  • B+ 32 · 9.1%
  • B 26 · 7.4%
  • B- 9 · 2.6%
  • C+ 6 · 1.7%
  • C 5 · 1.4%
  • F 4 · 1.1%
  • P 6 · 1.7%
  • DR 1 · 0.3%

Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.

By instructor

Instructor Predicted Raw n Terms A range
ENAKOUTSA, KOFFI 3.78 3.79 136 2 88%
JOHNSON, CASEY LYNN 3.50 3.47 66 2 59%
ARANT, TYLER JAMES 3.61 3.60 53 1 70%
CONLEY, WILLIAM JOSEPH 3.71 3.72 45 1 82%
WONG, KA WAH 3.65 3.64 44 1 68%

“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.

By term